Contact Prediction ToolKit

A Python Interface to Contact Predictions

This project is a result of the continuous struggle using residue-residue contact prediction pipelines, visualisation tools and related software. The aim was to reduce this complexity and provide one unified interface as a basic platform. The resulting interface is the Contact Prediction ToolKit, or ConKit.

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Key Features

  • Parsers for Multiple Sequence Alignment and contact prediction files
  • Analysis functions for Multiple Sequence Alignment and contact prediction data
  • Visualisation of Multiple Sequence Alignment and contact prediction data
  • Easy-to-use Python wrappers for the contact prediction related software

Note

ConKit was presented at the CCP4 Study Weekend 2017. A recording of the presentation is available on YouTube.

Installation & Usage

Please refer to ConKit’s documentation.

Contributing

There are two ways by which you can contribute to ConKit:

  1. Submit any suggestions to the GitHub Issue Tracker, or
  2. Fork this repository, commit your changes and submit a pull request.

Found a Bug?

Please use the GitHub Issue Tracker.

Contributors

  • Felix Simkovic
  • Jens Thomas
  • Ronan Keegan
  • Adam Simpkin
  • Daniel Rigden

Ackowledgements